In this talk we’ll discuss methods for distilling web pages and elements into numerical representations to use as inputs to classical ML classifiers. We will look at how well different families of Graph Neural Network architectures perform in this setting and how you can get started in this exciting and under-explored field of Machine Learning!
Top rated books
- AI 2041: Ten Visions for Our Future
- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
- The Data Detective: Ten Easy Rules to Make Sense of Statistics
- Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
- The Art of Statistics: How to Learn from Data
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Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.